code: def get_test_cases(self, **kwargs):
      # stochastic metrics (rho-risk) behave similar to deterministic metrics if all samples have equal values
      if "is_stochastic" in kwargs and kwargs["is_stochastic"]:
          test_cases = [
              (self.series1 + 1, self.series22_stochastic),
              (self.series1 + 1, self.series33_stochastic),
              (self.series2, self.series33_stochastic),
          ]
          kwargs.pop("is_stochastic", 0)
      else:
          test_cases = [
              (self.series1 + 1, self.series2),
              (self.series1 + 1, self.series3),
              (self.series2, self.series3),
          ]
      return test_cases, kwargs
  
imports: import numpy
  import pandas
  import pytest
  from darts import TimeSeries
  from darts.metrics import metrics
label_desc: Use image node_id 4 for calling the TestMetrics obj's underlying member method code with example usage: obj.get_test_cases() and returns: test_cases,  kwargs